| Representation learning for heterogeneous information networks via embedding events G Fu, B Yuan, Q Duan, X Yao Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 27 | 2019 |
| When cooperative co-evolution meets coordinate descent: Theoretically deeper understandings and practically better implementations Q Duan, C Shao, L Qu, Y Shi, B Niu 2019 IEEE Congress on Evolutionary Computation (CEC), 721-730, 2019 | 10 | 2019 |
| Spark clustering computing platform based parallel particle swarm optimizers for computationally expensive global optimization Q Duan, L Sun, Y Shi Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 6 | 2018 |
| Automated design of metaheuristic algorithms: A survey Q Zhao, Q Duan, B Yan, S Cheng, Y Shi arXiv preprint arXiv:2303.06532, 2023 | 5 | 2023 |
| Pypop7: A pure-python library for population-based black-box optimization Q Duan, G Zhou, C Shao, Z Wang, M Feng, Y Huang, Y Tan, Y Yang, ... arXiv preprint arXiv:2212.05652, 2022 | 5 | 2022 |
| Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization Q Duan, G Zhou, C Shao, Y Yang, Y Shi International Conference on Parallel Problem Solving from Nature, 281-294, 2022 | 4 | 2022 |
| Visualizing the search dynamics in a high-dimensional space for a particle swarm optimizer Q Duan, C Shao, X Li, Y Shi Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 4 | 2017 |
| Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations Q Duan, C Shao, G Zhou, H Yang, Q Zhao, Y Shi arXiv preprint arXiv:2304.05020, 2023 | 3 | 2023 |
| Bies: Adaptive policy optimization for model-based offline reinforcement learning Y Yang, J Jiang, Z Wang, Q Duan, Y Shi Australasian Joint Conference on Artificial Intelligence, 570-581, 2022 | 3 | 2022 |
| A parallel evolutionary algorithm with value decomposition for multi-agent problems G Li, Q Duan, Y Shi Advances in Swarm Intelligence: 11th International Conference, ICSI 2020 …, 2020 | 2 | 2020 |
| Distributed Evolution Strategies for Large-Scale Optimization Q Duan, G Zhou, C Shao, Y Yang, Y Shi Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 1 | 2022 |
| Parallel Population-Based Simulated Annealing for High-Dimensional Black-Box Optimization Y Zhang, Q Duan, C Shao, Y Shi 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-07, 2021 | 1 | 2021 |
| Hierarchical decomposition based cooperative coevolution for large-scale black-box optimization Q Duan, L Qu, C Shao, Y Shi 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2690-2697, 2019 | 1 | 2019 |
| Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization Q Duan, C Shao, G Zhou, M Zhang, Q Zhao, Y Shi IEEE Transactions on Parallel and Distributed Systems, 2024 | | 2024 |
Yuhui ShiChair Professor, Computer Science and Engineering, Southern University of Science and Technology在 ieee.org 的电子邮件经过验证
